Yves Amigues
- Genetics top 1%
- Genetic and phenotypic traits in livestock 33
- Genetic Mapping and Diversity in Plants and Animals 26
- Animal Genetics and Reproduction 7
- Genetic diversity and population structure 4
- Animal Science and Zoology top 2%
- Agronomy and Crop Science top 2%
- Nutrition and Dietetics top 5%
- Neurology top 10%
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- Wheat and Barley Genetics and Pathology 5
- Genetics and Plant Breeding 3
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- Prion Diseases and Protein Misfolding 4
- Muscle Physiology and Disorders 3
- Co-authors
- Florence T. BourgeoisNathalie IannuccelliJean Pierre BidanelHubert H. LevézielDaniel VaimanChristine RenardDenis MilanClaude Chevalet
- Partner nations
- FranceMoroccoUnited Kingdom
In The Last Decade
Yves Amigues
45 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 74
- Genetics 1.4k
- Animal Science and Zoology 312
- Agronomy and Crop Science 244
- Nutrition and Dietetics 234
- Neurology 98
Countries citing papers authored by Yves Amigues
This map shows the geographic impact of Yves Amigues's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yves Amigues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yves Amigues more than expected).
Fields of papers citing papers by Yves Amigues
This network shows the impact of papers produced by Yves Amigues. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yves Amigues. The network helps show where Yves Amigues may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yves Amigues, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 34 | |
| 2 | 2016 | 19 | |
| 3 | 2011 | 14 | |
| 4 | 2009 | 43 | |
| 5 | 2008 | 4 | |
| 6 | 2008 | 15 | |
| 7 | QTLs for resistance to internal parasites in two designs based on natural and experimental conditions of infection. | 2006 | 15 |
| 8 | 2006 | 56 | |
| 9 | Estimation de paramètres génétiques et détection de QTL liés à des caractères de fertilité mâle, de production de semence et de qualité de la semence chez le taureau laitier | 2005 | 5 |
| 10 | 2003 | 111 | |
| 11 | 2003 | 214 | |
| 12 | 2002 | 36 | |
| 13 | 2002 | 118 | |
| 14 | 2001 | 228 | |
| 15 | 2000 | 1 | |
| 16 | 2000 | 73 | |
| 17 | 1999 | 208 | |
| 18 | Eight canine tetranucleotide repeats | 1998 | 2 |
| 19 | 1995 | 126 | |
| 20 | 1995 | 17 |
About Yves Amigues
Yves Amigues is a scholar working on Genetics, Agronomy and Crop Science and Small Animals, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (33 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers), Animal Genetics and Reproduction (7 papers), Wheat and Barley Genetics and Pathology (5 papers), Prion Diseases and Protein Misfolding (4 papers), Genetic diversity and population structure (4 papers), Muscle Physiology and Disorders (3 papers) and Genetics and Plant Breeding (3 papers). The work is most often cited by research in Genetics (1.4k citations), Animal Science and Zoology (312 citations) and Agronomy and Crop Science (244 citations). Yves Amigues has collaborated with scholars based in France, Morocco and United Kingdom. Frequent co-authors include Florence T. Bourgeois, Nathalie Iannuccelli, Jean Pierre Bidanel, Hubert H. Levéziel, Daniel Vaiman, Christine Renard, Denis Milan, Claude Chevalet, Maud Bertaud and Pascale Le Roy. Their work appears in journals such as Genetics, Journal of Dairy Science and Journal of Animal Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.